Khalifa Aliyu Ibrahim | Engineering and Technology | Best Researcher Award

Khalifa Aliyu Ibrahim | Engineering and Technology | Best Researcher Award

Mr Khalifa Aliyu Ibrahim, Cranfield University, United Kingdom

Mr. Kamilu A. Ibrahim is a dedicated researcher and academic with expertise in AI-driven high-frequency power electronics. Currently pursuing a PhD at Cranfield University, he has a strong background in physics, energy, and power systems. His research focuses on sustainable energy solutions, incorporating artificial intelligence and machine learning. With numerous publications in reputable journals and conferences, Mr. Ibrahim has made significant contributions to renewable energy, hydrogen systems, and power electronics. His academic career includes roles as a lecturer and research assistant, demonstrating his passion for knowledge dissemination. Recognized for his excellence, he has received prestigious scholarships and awards.

Publication Profile

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Education

Mr. Kamilu A. Ibrahim is currently pursuing a PhD in AI-driven design of high-frequency power electronics at Cranfield University, where he explores innovative approaches to sustainable energy and power systems. He previously earned a Master of Science in Energy Systems and Thermal Processes from Cranfield University (2020-2021), gaining expertise in energy efficiency, renewable energy, and thermal management. Further advancing his research skills, he completed a Master’s by Research (M.Res.) in Energy and Power (2022-2023), focusing on advanced power systems and their optimization. His academic journey began with a Bachelor of Science in Physics from Kaduna State University (2013-2016), where he built a strong foundation in physical sciences and energy applications. Throughout his education, Mr. Ibrahim has demonstrated a commitment to innovation in power electronics, artificial intelligence, and sustainable energy solutions. His multidisciplinary background equips him with the technical and analytical skills essential for driving advancements in renewable energy and intelligent power systems. πŸŽ“βš‘πŸ”‹

Experience

Mr. Kamilu A. Ibrahim has a strong background in research, teaching, and project management, with a focus on power systems, renewable energy, and AI applications. Since 2022, he has been working as a Research Assistant at Cranfield University, contributing to cutting-edge studies in AI-driven high-frequency power electronics. Prior to this, he served as a Lecturer at Kaduna State University from 2021 to 2022, where he taught physics and energy-related courses while mentoring students in research projects. From 2020 to 2021, he was a Lecturer at Nuhu Bamalli Polytechnic, Zaria, where he played a key role in curriculum development and academic instruction in energy systems. Throughout his career, Mr. Ibrahim has combined his expertise in energy and artificial intelligence to drive innovation in sustainable energy solutions. His experience spans teaching, publishing research in top-tier journals, and collaborating on interdisciplinary projects, making significant contributions to the advancement of renewable energy technologies.

Awards and Honors

Mr. Kamilu A. Ibrahim has been recognized for his academic excellence and research contributions through several prestigious awards and honors. He received the Petroleum Technology Development Fund Scholarship (2021), a highly competitive award supporting outstanding researchers in energy and power systems. In 2020, he was also honored with the Merit-based Foreign Scholarship, which enabled him to pursue advanced studies in energy systems and AI-driven power electronics. In addition to these distinguished scholarships, Mr. Ibrahim has earned multiple certificates of completion from various specialized training programs, focusing on sustainable energy, artificial intelligence applications in power systems, and cutting-edge advancements in high-frequency electronics. His commitment to continuous learning and innovation has positioned him as a leader in his field, contributing significantly to research in renewable energy, hydrogen storage, and machine learning applications. These achievements underscore his dedication to academic excellence and groundbreaking contributions to the future of energy technologies.

Publication Top Notes

  • πŸ“Š Revolutionizing Power Electronics Design Through Large Language Models: Applications and Future Directions (2024)
  • 🌊 Floating Solar Wireless Power Transfer System for Electric Ships: Design and Laboratory Tests (2025)
  • πŸ”‹ Harnessing Energy for Wearables: A Review of Radio Frequency Energy Harvesting Technologies (2023)
  • β˜€οΈ The Effect of Solar Irradiation on Solar Cells (2019)
  • 🌑️ Cooling of Concentrated Photovoltaic Cellsβ€”A Review and the Perspective of Pulsating Flow Cooling (2023)
  • 🌱 High-Performance Green Hydrogen Generation System (2021)
  • βš—οΈ Advancing Hydrogen: A Closer Look at Implementation Factors, Current Status, and Future Potential (2023)
  • πŸ“‘ Survey and Assessment of Radiation Levels Associated with Mobile and Wireless Telecommunication Mast in Residential and Office Areas within Kaduna Metropolis (2019)
  • πŸš€ Decision Support System for Sustainable Hydrogen Production: Case Study of Saudi Arabia (2025)
  • πŸ›’οΈ Measurements of Pour Points, Flash Points, Water Contents, and Viscosity of Some Selected Automobile Oils Used as Lubricants in Nigeria (2022)

Eduardo Garcia Magraner | Engineering and Technology | Best Researcher Award

Eduardo Garcia Magraner | Engineering and Technology | Best Researcher Award

Dr Eduardo Garcia, Magraner Ford Motor Company, Spain

πŸ”§ Dr. Eduardo GarcΓ­a Magraner is a distinguished expert in industrial automation, manufacturing, and occupational safety. With a Ph.D. in Computer Engineering & Industrial Production (Cum Laude, CEU Cardenal Herrera, 2016) πŸŽ“, he has led key roles at Ford Spain πŸš—, from Electromechanical Maintenance to Manufacturing Manager. A Lean Six Sigma Black Belt βš™οΈ, he has earned multiple innovation and safety awards πŸ†, including the Henry Ford Technical Award. A sought-after speaker 🎀 and researcher πŸ“–, his contributions span Industry 4.0, predictive maintenance, and AI-driven efficiency. Passionate about smart factories 🏭, he bridges academia and industry for sustainable progress. 🌍

Publication Profile

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Academic and Professional BackgroundΒ 

Dr. Eduardo Garcia Magraner πŸŽ“βš™οΈ is an expert in industrial engineering, automation, and occupational safety. His academic journey began with vocational training in electrical and telecommunications, followed by a Ph.D. in Computer Engineering and Industrial Production (2016) πŸ…. Certified in Lean Six Sigma (Black Belt) and occupational risk prevention, he has mastered integrated management systems πŸ­βœ…. With expertise in robotics πŸ€–, energy efficiency 🌱, and human resources 🀝, he has undertaken extensive additional training in automation and safety. His research explores machine deterioration and throughput optimization πŸ“Š. A leader in engineering and innovation, he continuously enhances industry standards πŸš€.

Experience

Dr. Eduardo Garcia Magraner has built an impressive career at Ford S.L, starting as a First-Class Electromechanical Maintenance Operator (1990-2001) βš™οΈ. He advanced to Equipment Engineer (2001-2006) and later became a Maintenance Supervisor (2006) πŸ”©. His expertise led him to roles such as Senior Equipment Engineer in Maintenance & Automation (2007-2012) and Production Supervisor (2012) 🏭. He progressed to Manufacturing Manager for Body & Stamping (2014) and Champion of M.O.S. (2016) πŸ”§. As SPOC for Cyber Security (2019) and now Manufacturing Manager for Assembly & Battery Plants (2023), he continues shaping Ford’s production excellence βš‘πŸš—.

Awards and RecognitionsΒ 

Dr. Eduardo Garcia Magraner has been recognized for his outstanding contributions to safety, productivity, and innovation at Ford Spain πŸš—πŸ†. His accolades include multiple Maximum Awards for enhancing press line efficiency (1997, 1999, 2002) and the prestigious Henry Ford Technical Award (2019) for IIoT-based predictive maintenance πŸ”§πŸ“Š. He received honors for workplace safety (1995, 2010, 2012) and academic mentorship at the Polytechnic University of Valencia (2014) πŸŽ“πŸ‘. His work in AI and cybersecurity earned global recognition (2019, 2020) πŸ€–πŸ”. A leader in industrial innovation, he continues to push the boundaries of engineering excellence πŸš€βš™οΈ.

Academic ImpactΒ 

Dr. Eduardo Garcia is a distinguished researcher in automation and smart manufacturing πŸ€–πŸ­. Beyond his groundbreaking research, he has delivered keynote presentations at global conferences, sharing insights on smart factories and AI-driven manufacturing πŸ”πŸŽ€. His expertise has influenced industry advancements, making him a sought-after speaker in the field. In recognition of his contributions, he was honored with the prestigious CEU Ángel Herrera Prize in 2023 πŸ†πŸŽ“, further solidifying his reputation as a leading researcher. Through his work, Dr. Garcia continues to shape the future of industrial automation, bridging innovation and practical applications for smarter, more efficient production systems βš™οΈπŸŒ.

Presentation

Dr. Eduardo GarcΓ­a is a distinguished expert in industrial robotics and Industry 4.0 πŸ€–πŸ­, actively contributing to global conferences and forums. He has delivered impactful presentations at events like EVERii2020, PENTEO2020, and INNOVATION TALKS 2020, addressing smart manufacturing and supply chains πŸš€πŸ“¦. A sought-after speaker, he has shared insights at Advanced Factories, the Global Robot Expo, and the International Conference on Big Data, AI, and IoT πŸŒπŸ“Š. As a Master Professor at PEAKS BUSINESS SCHOOL, he fosters innovation in Industry 4.0. In 2023, he received the prestigious CEU Ángel Herrera Prize for outstanding research excellence πŸ†πŸ“–.

Research Focus

Dr. Eduardo GarcΓ­a Magraner’s research focuses on Industrial Internet of Things (IIoT) πŸ­πŸ“‘, smart manufacturing πŸ€–, and predictive maintenance πŸ”§βš™οΈ within Industry 4.0. His work includes real-time condition monitoring πŸ•’, virtual sensors πŸ“Š, and AI-driven automation πŸ€–πŸ” to enhance efficiency in industrial environments. Key contributions involve sub-bottleneck detection πŸš€, autonomous mobile warehouses πŸš—πŸ­, and manufacturing process optimization πŸ“ˆ using big data and simulation tools πŸ“‘πŸ’‘. His research advances smart factory management πŸ­πŸ’», ensuring reliability, reducing downtime, and boosting productivity. His innovations drive next-gen industrial automation πŸš€πŸ—οΈ for intelligent and self-optimizing manufacturing ecosystems.

Publication Top Notes

MUHAMMAD ZUBAIR | Transportation Engineering | Best Researcher Award

MUHAMMAD ZUBAIR | Transportaion Engineering | Best Researcher Award

Dr MUHAMMAD ZUBAIR, Southeast University Nanjing China, China

Dr. Muhammad Zubair is a dedicated transportation engineering scholar currently pursuing his Ph.D. at Southeast University in Nanjing, China. He holds an M.Sc. and a B.Sc. in Transportation and Civil Engineering, respectively, and has received multiple scholarships for academic excellence. As a Quantity Surveyor, he managed construction projects and ensured quality compliance. His research contributions include journal articles on carbon dioxide emissions and land use changes. Fluent in several languages, he excels in communication and presentation skills. Dr. Zubair is committed to advancing transportation sustainability through innovative research. πŸš§πŸ“šπŸŒβœοΈ

Publication profile

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Academic qualification

With a strong foundation in engineering, he hold a Ph.D. in Transportation Engineering from Southeast University (SEU) in Nanjing, China (2021). Prior to this, He earned my M.Sc. in Transportation Engineering from the same institution (2019-2021). He academic journey began with a B.Sc. in Civil Engineering from NFC Institute of Engineering and Technology, Multan, Pakistan (2013-2017). He also completed a Diploma in Associate Engineering (D.A.E.) in Civil Engineering from PBTE, Lahore, Pakistan (2008-2011). He secondary education was completed at BISE in Multan, Pakistan (2006-2008). πŸŽ“πŸš¦πŸ—οΈπŸŒ

Awards

He am honored to receive the Fully Funded China Road Bridge Corporation Master’s Scholarship at Southeast University in Nanjing, China. πŸŽ“ Additionally, He earned the 3rd Position Prize Award for excellence in my BSc in Civil Engineering from Multan, showcasing my commitment to academic success. πŸ† He also grateful to have benefited from the Fauji Foundation Scholarship and the Diya Pakistan Scholarship during he undergraduate studies, which supported my educational journey and helped me achieve my goals. πŸ™πŸ’ͺ These experiences have strengthened my dedication to civil engineering and community development. πŸŒπŸ—οΈ

Work history

Muhammad Zubair worked as a Quantity Surveyor at Multan SS Developers from June 2018 to August 2019. In this role, he supervised the construction of residential buildings, ensuring projects met quality standards and stayed within budget. He also oversaw the construction of workers’ accommodations, focusing on creating safe and comfortable living conditions for the labor force. His experience in quantity surveying enhanced his skills in project management, cost estimation, and construction oversight. Muhammad’s contributions played a vital role in the successful completion of various residential projects, showcasing his dedication to excellence in the construction industry. πŸ—οΈπŸ‘·β€β™‚οΈπŸ‘βœ¨

Journal papers

Comparative Assessment of Reference Evapotranspiration Estimation Using Conventional Method and Machine Learning Algorithms in Four Climatic Regions explores the effectiveness of traditional methods versus machine learning algorithms for estimating reference evapotranspiration. Conducted across four distinct climatic regions, the study aims to enhance the accuracy of evapotranspiration estimates, which are vital for agricultural planning and water resource management. By comparing conventional techniques with advanced machine learning approaches, the research highlights the potential of innovative methodologies in improving environmental modeling. This work contributes significantly to the fields of hydrology and climate science. πŸŒπŸ’§πŸ“ˆ

Research focus

Muhammad Zubair’s research focuses on sustainability and environmental science, particularly in the context of transportation, land use, and water resources. His work includes systematic reviews of carbon dioxide emission measurement methods and the assessment of land use changes using NDVI in Southern Punjab, Pakistan. He has also contributed to studies on evapotranspiration misconceptions and emotional well-being during travel. Zubair’s interdisciplinary approach integrates hydrology, urban planning, and public health, aiming to address pressing environmental issues and enhance sustainable practices. πŸŒ±πŸŒπŸ“ŠπŸ’§βœˆοΈ

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